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07/23/2023
Iterative Robust Visual Grounding with Masked Reference based Centerpoint Supervision
Visual Grounding (VG) aims at localizing target objects from an image ba...
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05/09/2023
Change Detection Methods for Remote Sensing in the Last Decade: A Comprehensive Review
Change detection is an essential and widely utilized task in remote sens...
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04/19/2023
Transformer-Based Visual Segmentation: A Survey
Visual segmentation seeks to partition images, video frames, or point cl...
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03/22/2023
Tube-Link: A Flexible Cross Tube Baseline for Universal Video Segmentation
The goal of video segmentation is to accurately segment and track every ...
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02/16/2023
Local-to-Global Information Communication for Real-Time Semantic Segmentation Network Search
Neural Architecture Search (NAS) has shown great potentials in automatic...
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01/03/2023
PanopticPartFormer++: A Unified and Decoupled View for Panoptic Part Segmentation
Panoptic Part Segmentation (PPS) unifies panoptic segmentation and part ...
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01/02/2023
Betrayed by Captions: Joint Caption Grounding and Generation for Open Vocabulary Instance Segmentation
In this work, we focus on instance-level open vocabulary segmentation, i...
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07/10/2022
SFNet: Faster, Accurate, and Domain Agnostic Semantic Segmentation via Semantic Flow
In this paper, we focus on exploring effective methods for faster, accur...
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06/21/2022
Multi-level Domain Adaptation for Lane Detection
We focus on bridging domain discrepancy in lane detection among differen...
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06/21/2022
Reconstruct from Top View: A 3D Lane Detection Approach based on Geometry Structure Prior
In this paper, we propose an advanced approach in targeting the problem ...
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04/10/2022
Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation
This paper presents Video K-Net, a simple, strong, and unified framework...
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04/10/2022
Fashionformer: A simple, Effective and Unified Baseline for Human Fashion Segmentation and Recognition
Human fashion understanding is one important computer vision task since ...
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01/13/2022
TransVOD: End-to-end Video Object Detection with Spatial-Temporal Transformers
Detection Transformer (DETR) and Deformable DETR have been proposed to e...
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08/16/2021
PIT: Position-Invariant Transform for Cross-FoV Domain Adaptation
Cross-domain object detection and semantic segmentation have witnessed i...
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08/08/2021
Context-Aware Mixup for Domain Adaptive Semantic Segmentation
Unsupervised domain adaptation (UDA) aims to adapt a model of the labele...
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08/08/2021
Self-Adversarial Disentangling for Specific Domain Adaptation
Domain adaptation aims to bridge the domain shifts between the source an...
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07/28/2021
Improving Video Instance Segmentation via Temporal Pyramid Routing
Video Instance Segmentation (VIS) is a new and inherently multi-task pro...
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07/28/2021
Global Aggregation then Local Distribution for Scene Parsing
Modelling long-range contextual relationships is critical for pixel-wise...
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05/25/2021
BoundarySqueeze: Image Segmentation as Boundary Squeezing
We propose a novel method for fine-grained high-quality image segmentati...
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05/23/2021
End-to-End Video Object Detection with Spatial-Temporal Transformers
Recently, DETR and Deformable DETR have been proposed to eliminate the n...
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03/29/2021
Enhanced Boundary Learning for Glass-like Object Segmentation
Glass-like objects such as windows, bottles, and mirrors exist widely in...
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03/11/2021
PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation
Aerial Image Segmentation is a particular semantic segmentation problem ...
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03/01/2021
Embedded Knowledge Distillation in Depth-level Dynamic Neural Network
In real applications, different computation-resource devices need differ...
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11/06/2020
Towards Efficient Scene Understanding via Squeeze Reasoning
Graph-based convolutional model such as non-local block has shown to be ...
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07/20/2020
Improving Semantic Segmentation via Decoupled Body and Edge Supervision
Existing semantic segmentation approaches either aim to improve the obje...
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07/20/2020
Search What You Want: Barrier Panelty NAS for Mixed Precision Quantization
Emergent hardwares can support mixed precision CNN models inference that...
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04/19/2020
Uncertainty-Aware Consistency Regularization for Cross-Domain Semantic Segmentation
Unsupervised domain adaptation (UDA) aims to adapt existing models of th...
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04/18/2020
Semi-Supervised Semantic Segmentation via Dynamic Self-Training and Class-Balanced Curriculum
In this work, we propose a novel and concise approach for semi-supervise...
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09/15/2019
Graph-guided Architecture Search for Real-time Semantic Segmentation
Designing a lightweight semantic segmentation network often requires res...
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08/05/2019
GDRQ: Group-based Distribution Reshaping for Quantization
Low-bit quantization is challenging to maintain high performance with li...
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05/24/2019